Search Publication
Export 540 results:
Author Title Type [ Year
] Filters: First Letter Of Last Name is C [Clear All Filters]
. Towards Speech to Sign Language Translation. In ECCV 2018 Workshop on Shortcomings in Vision and Language. 2018. 
(142.48 KB)
(142.48 KB). Video Understanding through the Disentanglement of Appearance and Motion. . 2018. (1.06 MB)
(1.06 MB). Who watches the watchers? Quality control of the human inspection in production lines using Visual Intensity of Attention. In SAAEI 2018. Barcelona; 2018. (593.55 KB)
(593.55 KB). 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
. 3D Point Cloud Segmentation Using a Fully Connected Conditional Random Field. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip/IEEE; 2017. (2.34 MB)
(2.34 MB). Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017. (187.43 KB)
(187.43 KB). Active Deep Learning for Medical Imaging Segmentation. . 2017. (2.84 MB)
(2.84 MB). Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
. A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312. (88.92 KB)
(88.92 KB). A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312. (88.92 KB)
(88.92 KB). Collaborative voting of 3D features for robust gesture estimation. In International Conference on Acoustics, Speech and Signal Processing. New Orleans, USA; 2017. (0 bytes)
(0 bytes). Cost-Effective Active Learning for Melanoma Segmentation. In ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017. (521.82 KB)
(521.82 KB). Disentangling Motion, Foreground and Background Features in Videos. In CVPR 2017 Workshop Brave New Motion Representations. 2017. (370.64 KB)
(370.64 KB). Disentangling Motion, Foreground and Background Features in Videos. In CVPR 2017 Workshop Brave New Motion Representations. 2017. (370.64 KB)
(370.64 KB). Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. In International Conference on Computational Science (ICCS). Zurich, Switzerland: Elsevier; 2017. (576.67 KB)
(576.67 KB). From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. Image and Vision Computing. 2017;. (1.92 MB)
(1.92 MB). Learning to Skip State Updates in Recurrent Neural Networks. . 2017. (961.49 KB)
(961.49 KB). Learning to Skip State Updates in Recurrent Neural Networks. . 2017. (961.49 KB)
(961.49 KB). Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2017;13(7):P1245.
. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.